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A Class of Diacylglycerol Acyltransferase 1 Inhibitors Identified by a Combination of Phenotypic High-throughput Screening, Genomics, and Genetics

Excess lipid storage is an epidemic problem in human populations. Thus, the identification of small molecules to treat or prevent lipid storage-related metabolic complications is of great interest. Here we screened > 320.000 compounds for their ability to prevent a cellular lipid accumulation phe...

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Autores principales: Tschapalda, Kirsten, Zhang, Ya-Qin, Liu, Li, Golovnina, Kseniya, Schlemper, Thomas, Eichmann, Thomas O., Lal-Nag, Madhu, Sreenivasan, Urmila, McLenithan, John, Ziegler, Slava, Sztalryd, Carole, Lass, Achim, Auld, Douglas, Oliver, Brian, Waldmann, Herbert, Li, Zhuyin, Shen, Min, Boxer, Matthew B., Beller, Mathias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919474/
https://www.ncbi.nlm.nih.gov/pubmed/27428418
http://dx.doi.org/10.1016/j.ebiom.2016.04.014
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author Tschapalda, Kirsten
Zhang, Ya-Qin
Liu, Li
Golovnina, Kseniya
Schlemper, Thomas
Eichmann, Thomas O.
Lal-Nag, Madhu
Sreenivasan, Urmila
McLenithan, John
Ziegler, Slava
Sztalryd, Carole
Lass, Achim
Auld, Douglas
Oliver, Brian
Waldmann, Herbert
Li, Zhuyin
Shen, Min
Boxer, Matthew B.
Beller, Mathias
author_facet Tschapalda, Kirsten
Zhang, Ya-Qin
Liu, Li
Golovnina, Kseniya
Schlemper, Thomas
Eichmann, Thomas O.
Lal-Nag, Madhu
Sreenivasan, Urmila
McLenithan, John
Ziegler, Slava
Sztalryd, Carole
Lass, Achim
Auld, Douglas
Oliver, Brian
Waldmann, Herbert
Li, Zhuyin
Shen, Min
Boxer, Matthew B.
Beller, Mathias
author_sort Tschapalda, Kirsten
collection PubMed
description Excess lipid storage is an epidemic problem in human populations. Thus, the identification of small molecules to treat or prevent lipid storage-related metabolic complications is of great interest. Here we screened > 320.000 compounds for their ability to prevent a cellular lipid accumulation phenotype. We used fly cells because the multifarious tools available for this organism should facilitate unraveling the mechanism-of-action of active small molecules. Of the several hundred lipid storage inhibitors identified in the primary screen we concentrated on three structurally diverse and potent compound classes active in cells of multiple species (including human) and negligible cytotoxicity. Together with Drosophila in vivo epistasis experiments, RNA-Seq expression profiles suggested that the target of one of the small molecules was diacylglycerol acyltransferase 1 (DGAT1), a key enzyme in the production of triacylglycerols and prominent human drug target. We confirmed this prediction by biochemical and enzymatic activity tests.
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spelling pubmed-49194742016-06-30 A Class of Diacylglycerol Acyltransferase 1 Inhibitors Identified by a Combination of Phenotypic High-throughput Screening, Genomics, and Genetics Tschapalda, Kirsten Zhang, Ya-Qin Liu, Li Golovnina, Kseniya Schlemper, Thomas Eichmann, Thomas O. Lal-Nag, Madhu Sreenivasan, Urmila McLenithan, John Ziegler, Slava Sztalryd, Carole Lass, Achim Auld, Douglas Oliver, Brian Waldmann, Herbert Li, Zhuyin Shen, Min Boxer, Matthew B. Beller, Mathias EBioMedicine Research Paper Excess lipid storage is an epidemic problem in human populations. Thus, the identification of small molecules to treat or prevent lipid storage-related metabolic complications is of great interest. Here we screened > 320.000 compounds for their ability to prevent a cellular lipid accumulation phenotype. We used fly cells because the multifarious tools available for this organism should facilitate unraveling the mechanism-of-action of active small molecules. Of the several hundred lipid storage inhibitors identified in the primary screen we concentrated on three structurally diverse and potent compound classes active in cells of multiple species (including human) and negligible cytotoxicity. Together with Drosophila in vivo epistasis experiments, RNA-Seq expression profiles suggested that the target of one of the small molecules was diacylglycerol acyltransferase 1 (DGAT1), a key enzyme in the production of triacylglycerols and prominent human drug target. We confirmed this prediction by biochemical and enzymatic activity tests. Elsevier 2016-04-16 /pmc/articles/PMC4919474/ /pubmed/27428418 http://dx.doi.org/10.1016/j.ebiom.2016.04.014 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Tschapalda, Kirsten
Zhang, Ya-Qin
Liu, Li
Golovnina, Kseniya
Schlemper, Thomas
Eichmann, Thomas O.
Lal-Nag, Madhu
Sreenivasan, Urmila
McLenithan, John
Ziegler, Slava
Sztalryd, Carole
Lass, Achim
Auld, Douglas
Oliver, Brian
Waldmann, Herbert
Li, Zhuyin
Shen, Min
Boxer, Matthew B.
Beller, Mathias
A Class of Diacylglycerol Acyltransferase 1 Inhibitors Identified by a Combination of Phenotypic High-throughput Screening, Genomics, and Genetics
title A Class of Diacylglycerol Acyltransferase 1 Inhibitors Identified by a Combination of Phenotypic High-throughput Screening, Genomics, and Genetics
title_full A Class of Diacylglycerol Acyltransferase 1 Inhibitors Identified by a Combination of Phenotypic High-throughput Screening, Genomics, and Genetics
title_fullStr A Class of Diacylglycerol Acyltransferase 1 Inhibitors Identified by a Combination of Phenotypic High-throughput Screening, Genomics, and Genetics
title_full_unstemmed A Class of Diacylglycerol Acyltransferase 1 Inhibitors Identified by a Combination of Phenotypic High-throughput Screening, Genomics, and Genetics
title_short A Class of Diacylglycerol Acyltransferase 1 Inhibitors Identified by a Combination of Phenotypic High-throughput Screening, Genomics, and Genetics
title_sort class of diacylglycerol acyltransferase 1 inhibitors identified by a combination of phenotypic high-throughput screening, genomics, and genetics
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919474/
https://www.ncbi.nlm.nih.gov/pubmed/27428418
http://dx.doi.org/10.1016/j.ebiom.2016.04.014
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